A Methodology of Network Modeling of Risk Prioritization in Hazardous Product Transportation

Sukmanee, Jenjira; Kesvarakul, Ramil; Janthong, Nattawut

doi:10.1109/ieem44572.2019.8978702

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…For instance, Martins et al (2016) emphasised the need for strict construction rules when constructing DC loading infrastructure, DC control systems and the use of 'specialised and trained crew'. Sukmanee, Kesvarakul and Janthong (2019) reiterate the need for risk prioritisation and the significance of following a sequential approach to loading and offloading DC. Mangan et al (2008) define in-port transportation as the movement of cargo from one point to another within the port area.…”

Section: Loading and Offloading High-risk Cargomentioning

confidence: 98%

Determinants of effective high-risk cargo logistics at sea ports: A case study

Saruchera

2020

Journal of Transport and Supply Chain Management

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Background: In recent decades, accidents involving hazardous goods at seaports have become a major concern worldwide resulting in international conventions and interventions to minimise the impact of such accidents. Despite the improvements in safety measures and the enhancement of cargo handlers’ knowledge over the years, port accidents involving dangerous substances still continue to occur.Objectives: The study explores the determinants of effective high-risk cargo (HRC) handling at seaports, focusing on Namibian seaports. The study was aimed at establishing the elements of HRC logistics processes and to determine factors influencing the effectiveness of HRC handling procedures followed by the seaports.Method: An integrated research strategy was adopted, backed by the employment of mixed research methods, through seven key informant interviews and a quantitative survey involving 81 port employees.Results: The results of the study confirmed the totality of HRC logistics activities at Namibian seaports. It emerged from the study that there were factors that facilitated and that hindered the effectiveness of HRC logistics activities at Namibian seaports. The study confirmed the association between HRC training and the level of knowledge of risk mitigation and emergency procedures, documentation understanding and regulations adherence. This guided in proposing a new theory for the determinants of HRC logistics in developing economies.Conclusion: The study’s findings provided sufficient evidence to suggest that HRC logistics safety processes at seaports can be improved through the proposed framework. The study’s findings have important repercussions for re-shaping public policy, especially as coastal economies worldwide compete towards becoming preferred logistics hubs.

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Section: Loading and Offloading High-risk Cargomentioning

confidence: 98%

Determinants of effective high-risk cargo logistics at sea ports: A case study

Saruchera

2020

Journal of Transport and Supply Chain Management

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“…The case study of the Office of Transport and Traffic Policy and Planning (OTP), Ministry of Transport, Thailand shows that there is a need for developing "the dry port development plan for becoming the regional logistics center" in accordance with the cabinet resolution. Therefore, the researcher must study and review the relevant information about the dry port, [18][19] which covers all levels including logistic behavior and the increasing quantity of products in the future. This will be used as supplementary information for setting strategic positioning and dry port development goal to support the demand and the development of the industrial products of the country in order to meet the economic development policy, trade and transportation in the country, and within the sub-region.…”

Section: Case Studymentioning

confidence: 99%

Network Modeling with ANP to Determine the Appropriate Area for the Development of Dry Port in Thailand

Sukmanee¹,

Kesvarakul²,

Janthong³

2020

Adv. sci. technol. eng. syst. j.

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One drawback of the Multiple Criteria Decision Making (MCDM) problem with the Analytic Network Process (ANP) is that the origin of the network cannot be clearly defined. In addition, it is not possible to specify internal relationship between criteria and subcriteria. The application of Design Structure Matrix (DSM) with the Partitioning Reachability Matrix method resulted in a clear understanding of the network's origin and was able to identify the relationship of all criteria in the system. Then, the data were analyzed by the ANP process using Super Decision Program. This will result in more reliable outcomes for selecting the best alternative with higher accuracy. This case study determined the suitable area for dry port development in 5 provinces in Thailand. Based on the analysis process mentioned above, Nakhon Ratchasima is the most suitable area to build a dry port of Thailand.

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